Azure CLI Automating Azure Virtual Machines with PowerShell
Course Description
About this Course
Goals
Understand key concepts of Azure OpenAI, Azure Form Recognizer and understand how to leverage BPA accelerator in conjunction with Azure Search and other services
Agenda
- Forms Recognizer – Overview and Experience
- Azure OpenAI – Brief overview & Accessibility
- Business Process Automation(BPA) Accelerator Capabilities & Usage
- Develop and execute BPA pipeline with Form Recognizer
- Analyze the output with Azure Search
- Azure OpenAI usage to enhance the extracted information
- Analyze the output with Forms Recognizer Studio and Azure Search
- Train a custom model using Form Recognizer Studio
- Utilize the custom model in the BPA accelerator and analyze the output
- Develop a pipeline using Azure OpenAI Generic module on BPA
- Learn how to use the Azure OpenAI GPT-3 Playground
- Visualize the filtered and summarized data from ingested documents
Level
Intermediate
Product
Azure OpenAI
Azure OpenAI Service provides REST API access to OpenAI’s powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio. https://learn.microsoft.com/en-us/azure/cognitive-services/openai/overview
Azure Form Recognizer
Azure Form Recognizer is a cloud-based Azure Applied AI Service that uses machine-learning models to extract key-value pairs, text, and tables from your documents. Form Recognizer analyzes your forms and documents, extracts text and data, maps field relationships as key-value pairs, and returns a structured JSON output.
Business Process Automation(BPA) Accelerator
Manually developing end-to-end solutions for business users may be costly and resource intensive. This accelerator provides a no code Studio for users to quickly build complex, multi-stage AI pipelines across multiple Azure AI and ML Services. Users can select, and stack, AI/ML Services from across Azure Cognitive Services (Speech, Language, Form Recognizer, ReadAPI), Azure Machine Learning into a single, fully integrated pipeline. Integration between services is automated by BPA, and once deployed, a web app is created. This customizable UI* provides and drag-n-drop interface for end users to build multi service pipelines. Finally, the user-created pipeline is triggered as soon as the first input file(s) are uploaded, storing the results in a document database.